Rights statement: © ACM, 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MM '14 Proceedings of the ACM International Conference on Multimedia http://dx.doi.org/10.1145/2647868.2654980
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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Just browsing?
T2 - understanding user journeys in online TV
AU - Elkhatib, Yehia
AU - Killick, Rebecca
AU - Mu, Mu
AU - Race, Nicholas
N1 - © ACM, 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MM '14 Proceedings of the ACM International Conference on Multimedia http://dx.doi.org/10.1145/2647868.2654980
PY - 2014/11
Y1 - 2014/11
N2 - Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.
AB - Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.
KW - online TV
KW - user behaviour modelling
KW - IPTV
U2 - 10.1145/2647868.2654980
DO - 10.1145/2647868.2654980
M3 - Conference contribution/Paper
SN - 9781450330633
SP - 965
EP - 968
BT - MM '14 Proceedings of the ACM International Conference on Multimedia
PB - ACM
CY - New York
ER -